Diversity and Habitat Use of Bats in Modified Suburban Landscapes
Bibliographic record
Abstract
Bats occupy critical ecological niches and perform important ecosystem services like controlling insect populations. However, humans have altered bat habitat substantially, resulting in the reduction of bat populations. The goals of this research are to assess bat diversity and habitat use across different levels of suburban habitat modification. To accomplish this, we deployed passive acoustic recorders at twelve locations with varying human impact in Montgomery County, Pennsylvania. In accordance with The North American Bat Monitoring Program’s standards, acoustic analysis software was used to identify bat species. Manual identification methods from The Canadian Wildlife Health Cooperative were used to verify these results. Insectivorous bats were present at every recording site. Seven species were identified, and diversity was largely similar across sites. Four common species were active at most sites including two rare species in our region. These findings underscore the ability for some bats to persist across a suburban habitat mosaic, highlights the need to support habitat for rare species, and call for continued monitoring to inform adaptive management strategies and ensure long-term sustainability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".